AI Platform Engineer

M&C Saatchi Group; City of Westminster; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

27 days annual holiday

Private healthcare

Employer contributory pension

Life assurance

Income protection

Gym membership discount

Job summary

M+C Saatchi Group is hiring a hands-on Platform Engineer to build and operate our enterprise AI platform. You will own platform delivery, automation and secure integrations, ensuring scalable, production-ready services across a global team.

This role collaborates with AI Operations, security and data teams to enforce governance and standards. Based in London with a hybrid pattern, you will translate operational needs into practical platform solutions, driving efficiency, reliability and cost

Qualifications

• Proven experience as Platform/Cloud/DevOps engineer in complex environments.
• Strong experience with cloud platforms (Azure, AWS or GCP).
• Experience designing and managing APIs, integrations or event-driven architectures.
• Familiarity with AI/ML platforms or GenAI ecosystems.
• Experience with infrastructure as code and automation tooling.
• Understanding of security, compliance and governance in enterprise systems.
• Experience implementing monitoring, logging and observability.
• Ability to translate business or operational requirements into technical solutions.
• Ability to assess AI tool capability from a technical perspective and translate to business use.

Responsibilities

• Design, build and operate the core enterprise AI platform infrastructure supporting MICA, including AI applications, agents and automation solutions.
• Translate operational, governance and adoption requirements into scalable platform capabilities.
• Review and assure AI solutions against architecture, security, operational and governance standards before production deployment.
• Engineer and maintain integrations with approved AI tools with secure access and governance.
• Partner with AI Operations and Adoption Manager to enable onboarding, rollout and lifecycle management of AI services.
• Implement platform-level controls to enforce AI governance (access management, auditability, data protection).
• Develop automation for provisioning, configuration, monitoring and optimization of AI environments.
• Monitor platform performance, usage and cost; drive continuous optimization.
• Support incident management, troubleshooting and root cause analysis; collaborate with vendors and internal IT teams.

Skills

Platform engineering

Cloud platforms

APIs & integrations

Event-driven architectures

AI/ML platforms

Infrastructure as code

Security & governance

Monitoring & observability

Requirements translation

Vendor collaboration

Tools

Terraform

Job description

This role sits at the core of our AI ecosystem - responsible for the platforms, integrations, automation and engineering standards that enable AI to operate securely, reliably and at scale. Reporting to the Global Head of Enterprise Infrastructure & Architecture, and working in close partnership with the AI Operations and Adoption Manager, you will translate operational requirements into robust, production-ready solutions. As a key member of the IT function, you will work closely with Information Security, Data teams and business stakeholders to ensure AI services are engineered to enterprise standards and integrated into the Group's broader technology landscape. Based in London, with a hybrid working pattern, the role operates across a global network of teams.

ABOUT THE ROLE

As MICA scales across the Group, we require a dedicated engineering capability to build and run the AI platform layer that enables it. This is a hands-on engineering role focused on platform delivery, integration, agentic automation and optimisation. It is distinct from AI strategy and adoption - instead focused on how AI capabilities are technically delivered, governed and scaled in a fast-paced production environment.

• A secure, scalable AI platform architecture integrated into enterprise systems
• Seamless onboarding and lifecycle management of approved AI tools
• Reliable, well-monitored AI services with clear performance and cost controls
• Automated operational processes enabling scale and consistency
• A well-governed technical environment aligned to AI policies and frameworks
• Strong alignment between platform engineering and AI operations delivery

WHAT YOU'LL DO:

• Design, build and operate the core enterprise AI platform infrastructure supporting MICA including AI applications, agents, and automation solutions leveraging approved platforms and frameworks
• Translate operational, governance and adoption requirements into scalable, reusable platform capabilities
• Review and assure AI solutions against architecture, security, operational, and governance standards before production deployment
• Engineer and maintain integrations with approved AI tools, ensuring consistent access, authentication, monitoring and usage tracking with secure and governed access to organisational knowledge and information
• Partner closely with the AI Operations and Adoption Manager to enable onboarding, rollout and lifecycle management of AI services
• Implement platform-level controls to enforce AI governance, including access management, auditability and data protection
• Develop automation for provisioning, configuration, monitoring and optimisation of AI environments
• Monitor platform performance, usage and cost, driving continuous optimisation
• Support incident management, troubleshooting and root cause analysis
• Collaborate with vendors and internal IT teams to deliver platform enhancements and resolve dependencies
• Contribute to the evolution of AI platform standards, architecture and engineering practices across the Group

You are a hands-on, solutions-oriented platform engineer who thrives in building scalable, production-grade systems. You are comfortable translating complex operational needs into practical engineering solutions, and enjoy working across technical and business teams to deliver real-world outcomes.

WHAT YOU'LL BRING: (experience and qualifications)

• Proven experience as a Platform, Cloud or DevOps Engineer in a complex environment
• Strong experience with cloud platforms (Azure, AWS or GCP)
• Experience designing and managing APIs, integrations or event-driven architectures
• Familiarity with AI/ML platforms, GenAI tools or emerging AI ecosystems
• Experience with infrastructure as code and automation tooling
• Understanding of security, compliance and governance in enterprise systems
• Experience implementing monitoring, logging and observability
• Ability to translate business or operational requirements into technical solutions
• Ability to assess capability of AI tools from a technical perspective and translate that into business fit and usage opportunities

Additional desirable experience:

• Experience supporting AI-enabled platforms or products
• Familiarity with agent-based workflows, orchestration tools or automation frameworks
• Exposure to data platforms, pipelines or analytics ecosystems
• Experience working in environments with strong governance or regulatory requirements

M+C Saatchi Group is a creative solutions company that connects specialist expertise, fuelled by data, technology, and culture, to help clients navigate, create, and lead meaningful change. The Group operates across five core divisions: Connected Creativity; Passion Marketing; Global & Social Issues; Brand, Experience & Innovation; and Performance Media. Headquartered in London, operations span 23 countries with major hubs in the UK, Europe, US, Middle East & Africa, Asia and Australia. M+C Saatchi Group's two principles, Diversity of Thought and Brutal Simplicity of Thought, guide how they build teams and solve problems.

M+C Saatchi Group is an Equal Opportunity Employer which does not discriminate, celebrates diversity and bases all hiring and promotion decisions solely on talent and capability, without regard for any personal characteristics.

All employee information is kept confidential according to General Data Protection Regulation (GDPR).

• A critical role in building the AI platform capability of a global organisation
• Direct partnership with AI Operations and Adoption leadership shaping how AI is delivered at scale
• Exposure to enterprise architecture, emerging AI technologies and transformation initiatives
• The opportunity to define and scale AI platform engineering as a core capability
• A collaborative and entrepreneurial working environment
• Competitive salary and benefits
• Flexible, hybrid working

For the right candidate, we will offer a competitive salary and benefits package which includes 27 days annual holiday, private healthcare, employer contributory pension, life assurance and income protection. We also offer a host of benefits that support wellbeing including subsidised gym membership, whilst our commitment to Diversity and Inclusion sees us offer learning opportunities around D&I, mentoring programmes and the opportunity for all to participate in a number of active Employee Led Networks and associated events. Finally, this role will be supported with all the necessary personal development required to set someone up for success.